bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesMongoDBSenior Data Analyst II, Product

Senior Data Analyst II, Product

MongoDB · Austin · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyMongoDB
TitleSenior Data Analyst II, Product
Normalized title-
Department / teamAnalytics-Product
LocationAustin, TX, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-24 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MongoDB.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Analytics-Product.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMongoDB
Source88998ec6-cc1d-48ba-a390-4f081dbd8e53
ATS providerGreenhouse

Description

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026!). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. The Senior Product Analyst II will play a meaningful role in further developing our rapidly growing Data Analytics function. Partnering with stakeholders across Product Management, Engineering and Analytics teams, as well as with other teams around the business, this role will surface key insights to drive business decision making. This role requires someone with strong analytical and technical skills, and who is comfortable partnering with stakeholders at all levels of the organization and across multiple functional areas in a fast-paced, challenging environment. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Responsibilities Develop a deep understanding of what types of features and products customers are using across different stages of their MongoDB lifecycle, find pain points, and conduct deep-dives to provide actionable recommendations that improve the customer experience Define KPIs and diagnostic metrics that help improve the user experience Surface insights to drive executive decision making across the business Create measurement frameworks to measure the success of each product Conduct deep dive analysis to assess product performance and health Serve as an analytical and technical thought partner to stakeholders across the product, analytics, data science teams Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes Skills & attributes 5+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software company Advanced SQL skills and proficiency with either Python or R Deep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments. Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization Effective at communicating technical concepts to non-technical audiences Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req. ID: 1273420170 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $97,000 — $189,000 USD

Full job record

Job ID89936e7ac39bd90000f6c828d85a8b8eaca3c0cc
Org IDe9008b6b-69b1-433e-bfca-0c10cf61e9d3
Source ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Board ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Providergreenhouse
Provider Job Key7846877
TitleSenior Data Analyst II, Product
Normalized Title
Statusactive
Activeyes
Location TextAustin
DepartmentAnalytics-Product
Team
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.mongodb.com/careers/job/?gh_jid=7846877
Apply URLhttps://www.mongodb.com/careers/job/?gh_jid=7846877
First Seen At2026-05-29 22:41:08Z
Last Seen At2026-06-06 07:33:49Z
Last Checked At2026-06-06 07:33:49Z
Last Changed At2026-06-06 07:33:49Z
Inactive At
Source Posted At2026-04-24 16:26:09Z
Source Updated At2026-06-04 18:30:04Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mongodb/date=2026-06-06/2026-06-06T07-33-48-265Z-878cefdbd2d6652aa865bfb36ccc5162b6d25126bb43ee12601adf9824216fcc.json
Event Fields
{
  "content_hash": "a8391a859289ccb2f05f247ac7a2463757931f2646808319581b7e2b0491fbd0",
  "source_hash": "e02a10ed2a5c4afbab8ed110319ea1fda62ad2a578f6c60bdfbd1c48c69c64b1",
  "last_changed_at": "2026-06-06T07:33:49.055Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Austin",
    "city": "Austin",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:33:48.913Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Austin",
      "city": "Austin",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "title": "Senior Data Analyst II, Product",
  "offices": [
    {
      "id": 3964,
      "name": "Austin",
      "location": "Austin, TX, United States",
      "child_ids": [],
      "parent_id": 23657
    }
  ],
  "language": "en",
  "location": {
    "name": "Austin"
  },
  "metadata": [
    {
      "id": 22194060,
      "name": "Position ID",
      "value": "T10007198",
      "value_type": "short_text"
    },
    {
      "id": 24918,
      "name": "Department ID",
      "value": "D21410-Analytics - Product",
      "value_type": "single_select"
    },
    {
      "id": 22194061,
      "name": "Team",
      "value": "T100121-BizOps",
      "value_type": "single_select"
    },
    {
      "id": 4914027,
      "name": "Region",
      "value": "North America",
      "value_type": "single_select"
    },
    {
      "id": 4137836,
      "name": "Working Model Eligibility",
      "value": [
        "2-Flexible"
      ],
      "value_type": "multi_select"
    },
    {
      "id": 4914029,
      "name": "Job Level",
      "value": "Professional - IC",
      "value_type": "single_select"
    },
    {
      "id": 24109,
      "name": "Employment Type",
      "value": "Full-time",
      "value_type": "single_select"
    },
    {
      "id": 1073551,
      "name": "Job Type",
      "value": "Standard",
      "value_type": "single_select"
    },
    {
      "id": 988684,
      "name": "JD Link",
      "value": "https://docs.google.com/document/d/1fhc35bLCrpZDVwcjltVZytmi-LZlcn2nNTGENDdNUM0/edit?tab=t.0",
      "value_type": "url"
    },
    {
      "id": 5525802,
      "name": "Baseline Budgeted Salary",
      "value": null,
      "value_type": "currency_range"
    },
    {
      "id": 5525816,
      "name": "Other Large Market Budgeted Salary",
      "value": {
        "unit": "USD",
        "max_value": "146000.0",
        "min_value": "102000.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 13324394,
      "name": "Job Post Range (United States)",
      "value": {
        "unit": "USD",
        "max_value": "189000.0",
        "min_value": "97000.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 40497768,
      "name": "Job Post Range (Canada)",
      "value": {
        "unit": "USD",
        "max_value": "0.0",
        "min_value": "0.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 57694516,
      "name": "Job Post Range (Poland)",
      "value": null,
      "value_type": "currency_range"
    },
    {
      "id": 64002488,
      "name": "Job Post Range (Italy)",
      "value": null,
      "value_type": "currency_range"
    }
  ],
  "updated_at": "2026-06-04T14:30:04-04:00",
  "departments": [
    {
      "id": 85948,
      "name": "Analytics-Product",
      "child_ids": [],
      "parent_id": 38842
    }
  ],
  "company_name": "MongoDB",
  "requisition_id": 3420170,
  "first_published": "2026-04-24T12:26:09-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/89936e7ac39bd90000f6c828d85a8b8eaca3c0cc?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/e9008b6b-69b1-433e-bfca-0c10cf61e9d3JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/88998ec6-cc1d-48ba-a390-4f081dbd8e53JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/89936e7ac39bd90000f6c828d85a8b8eaca3c0cc/eventsJSON